Identifying a video camera for an object

ABSTRACT

Methods and systems are disclosed for controlling connected devices. For example, a messaging application implemented on a client device detects a real-world object depicted in a captured image and determines a current location of the client device. The messaging application identifies a plurality of video cameras associated with the current location and selects a first video camera from the plurality of video cameras based on one or more attributes of the real-world object depicted in the image. The messaging application receives a video feed from the first video camera that is selected and causes the video feed received from the first video camera to be displayed on top of the real-world object depicted in the captured image.

CLAIM OF PRIORITY

This application claims the benefit of priority to U.S. ProvisionalApplication Serial No. 63/273,415, filed on Oct. 29, 2021, which isincorporated herein by reference in its entirety.

TECHNICAL FIELD

The present disclosure relates generally to controlling connecteddevices, such as Internet of Things (IoT) devices, using a messagingapplication.

BACKGROUND

As the popularity of social networking grows, social networks areexpanding their capabilities. To improve ease of use, social networksare integrating more and more functions such that a user may accomplishmany or even most of their computer-based tasks within the socialnetwork itself.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numeralsmay describe similar components in different views. To easily identifythe discussion of any particular element or act, the most significantdigit or digits in a reference number refer to the figure number inwhich that element is first introduced. Some nonlimiting examples areillustrated in the figures of the accompanying drawings in which:

FIG. 1 is a diagrammatic representation of a networked environment inwhich the present disclosure may be deployed, in accordance with someexamples.

FIG. 2 is a diagrammatic representation of a messaging clientapplication, in accordance with some examples.

FIG. 3 is a diagrammatic representation of a data structure asmaintained in a database, in accordance with some examples.

FIG. 4 is a diagrammatic representation of a message, in accordance withsome examples.

FIG. 5 is a block diagram showing an example remote control system,according to example examples.

FIGS. 6, 7, and 8 are diagrammatic representations of outputs of theremote control system, in accordance with some examples.

FIG. 9 is a flowchart illustrating example operations of the remotecontrol system, in accordance with some examples.

FIG. 10 is a diagrammatic representation of a machine in the form of acomputer system within which a set of instructions may be executed forcausing the machine to perform any one or more of the methodologiesdiscussed herein, in accordance with some examples.

FIG. 11 is a block diagram showing a software architecture within whichexamples may be implemented.

DETAILED DESCRIPTION

The description that follows includes systems, methods, techniques,instruction sequences, and computing machine program products thatembody illustrative examples of the disclosure. In the followingdescription, for the purposes of explanation, numerous specific detailsare set forth in order to provide an understanding of various examples.It will be evident, however, to those skilled in the art, that examplesmay be practiced without these specific details. In general, well-knowninstruction instances, protocols, structures, and techniques are notnecessarily shown in detail.

Typically, a mobile phone can be used to control various IoT devices ina user’s home. To do so, a user has to preconfigure each of the IoTdevices on the phone using complex setup procedures. For example, themobile device can present a setup screen in which serial numbers, IPaddresses and various other unique identifying information is input by auser for each IoT device they desire to control. Such information thatis input is then used to establish an authenticated connection betweenthe mobile device and the specified IoT device. In order to then controlthe specified IoT device, the user has to navigate through severalscreens and pages of information to find the particular icon oridentifier of the IoT device. For example, the mobile device can presenta folder structure of different IoT devices, such as video cameras, andthe user can navigate through the hierarchy of folders to find thedesired device to control. This complex procedure to set up and controlIoT devices can be very time consuming and onerous on the end userswhich takes away from the overall appeal of remotely controlling suchdevices using a mobile device. Also, the need to navigate a complex menustructure to control such devices can consume a great deal of resources.

The disclosed techniques improve the efficiency of using the electronicdevice to control connected devices, such as IoT devices, by using amessaging application to automatically recognize real-world objectsassociated with connected devices in one or more images captured by theelectronic device and then enabling control of the connected devices.Namely, the disclosed examples provide a messaging applicationimplemented on a client device that detects a real-world object depictedin a received image and determines a current location of the clientdevice. The messaging application identifies a plurality of videocameras associated with the current location and selects a first videocamera from the plurality of video cameras based on one or moreattributes of the real-world object depicted in the image. The messagingapplication receives a video feed from the first video camera that isselected and causes the video feed received from the first video camerato be displayed on top of the real-world object depicted in the receivedimage. This enables a user to, for example, point a camera of a mobiledevice towards a front door and seamless view a video feed of aconnected camera associated with the front door. To enhance therealistic effect and view of the camera, the video feed is overlaid ontop of the image of the front door to make it appear as though thecamera of the mobile device can see through the front door.

This reduces the overall amount of resources required to controlconnected devices and increases the overall appeal of using themessaging application.

Networked Computing Environment

FIG. 1 is a block diagram showing an example messaging system 100 forexchanging data (e.g., messages and associated content) over a network.The messaging system 100 includes multiple instances of a client device102, each of which hosts a number of applications, including a messagingclient 104 and other external applications 109 (e.g., third-partyapplications). Each messaging client 104 is communicatively coupled toother instances of the messaging client 104 (e.g., hosted on respectiveother client devices 102), a messaging server system 108 and externalapp(s) servers 110 via a network 112 (e.g., the Internet). A messagingclient 104 can also communicate with locally-hosted third-partyapplications, such as external apps 109 using Application ProgrammingInterfaces (APIs).

A messaging client 104 is able to communicate and exchange data withother messaging clients 104 and with the messaging server system 108 viathe network 112. The data exchanged between messaging clients 104, andbetween a messaging client 104 and the messaging server system 108,includes functions (e.g., commands to invoke functions) as well aspayload data (e.g., text, audio, video or other multimedia data).

The messaging server system 108 provides server-side functionality viathe network 112 to a particular messaging client 104. While certainfunctions of the messaging system 100 are described herein as beingperformed by either a messaging client 104 or by the messaging serversystem 108, the location of certain functionality either within themessaging client 104 or the messaging server system 108 may be a designchoice. For example, it may be technically preferable to initiallydeploy certain technology and functionality within the messaging serversystem 108 but to later migrate this technology and functionality to themessaging client 104 where a client device 102 has sufficient processingcapacity.

The messaging server system 108 supports various services and operationsthat are provided to the messaging client 104. Such operations includetransmitting data to, receiving data from, and processing data generatedby the messaging client 104. This data may include message content,client device information, geolocation information, media augmentationand overlays, message content persistence conditions, social networkinformation, and live event information, as examples. Data exchangeswithin the messaging system 100 are invoked and controlled throughfunctions available via user interfaces of the messaging client 104.

Turning now specifically to the messaging server system 108, an APIserver 116 is coupled to, and provides a programmatic interface to,application servers 114. The application servers 114 are communicativelycoupled to a database server 120, which facilitates access to a database126 that stores data associated with messages processed by theapplication servers 114. Similarly, a web server 128 is coupled to theapplication servers 114 and provides web-based interfaces to theapplication servers 114. To this end, the web server 128 processesincoming network requests over the Hypertext Transfer Protocol (HTTP)and several other related protocols.

The API server 116 receives and transmits message data (e.g., commandsand message payloads) between the client device 102 and the applicationservers 114. Specifically, the API server 116 provides a set ofinterfaces (e.g., routines and protocols) that can be called or queriedby the messaging client 104 in order to invoke functionality of theapplication servers 114. The API server 116 exposes various functionssupported by the application servers 114, including accountregistration; login functionality; the sending of messages, via theapplication servers 114, from a particular messaging client 104 toanother messaging client 104; the sending of media files (e.g., imagesor video) from a messaging client 104 to a messaging server 118, and forpossible access by another messaging client 104; the settings of acollection of media data (e.g., story); the retrieval of a list offriends of a user of a client device 102; the retrieval of suchcollections; the retrieval of messages and content; the addition anddeletion of entities (e.g., friends) to an entity graph (e.g., a socialgraph); the location of friends within a social graph; and opening anapplication event (e.g., relating to the messaging client 104).

The application servers 114 host a number of server applications andsubsystems, including, for example, a messaging server 118, an imageprocessing server 122, and a social network server 124. The messagingserver 118 implements a number of message processing technologies andfunctions, particularly related to the aggregation and other processingof content (e.g., textual and multimedia content) included in messagesreceived from multiple instances of the messaging client 104. As will bedescribed in further detail, the text and media content from multiplesources may be aggregated into collections of content (e.g., calledstories or galleries). These collections are then made available to themessaging client 104. Other processor- and memory-intensive processingof data may also be performed server-side by the messaging server 118,in view of the hardware requirements for such processing.

The application servers 114 also include an image processing server 122that is dedicated to performing various image processing operations,typically with respect to images or video within the payload of amessage sent from or received at the messaging server 118.

Image processing server 122 is used to implement scan functionality ofthe augmentation system 208 (shown in FIG. 2 ). Scan functionalityincludes activating and providing one or more augmented reality (AR)experiences on a client device 102 when an image is captured by theclient device 102. Specifically, the messaging client 104 on the clientdevice 102 can be used to activate a camera. The camera displays one ormore real-time images or a video to a user along with one or more iconsor identifiers of one or more AR experiences. The user can select agiven one of the identifiers to launch the corresponding AR experienceor perform a desired image modification. The image processing server 122can receive a video and/or one or more images captured by the clientdevice 102. The image processing server 122 can perform feature analysisand object recognition on the received video and/or one or more imagesto identify and detect one or more real-world objects that are depictedin the received video and/or images. The image processing server 122 canaccess features and/or attributes of each real-world object that isdetected from a database or by searching the Internet. In response todetecting the real-world objects, the image processing server 122 cangenerate a list of identifiers of real-world objects being depicted inthe video and/or images and can associate the one or more attributes orfeatures with each object in the list.

The social network server 124 supports various social networkingfunctions and services and makes these functions and services availableto the messaging server 118. To this end, the social network server 124maintains and accesses an entity graph 308 (as shown in FIG. 3 ) withinthe database 126. Examples of functions and services supported by thesocial network server 124 include the identification of other users ofthe messaging system 100 with which a particular user has relationshipsor is “following,” and also the identification of other entities andinterests of a particular user.

Returning to the messaging client 104, features and functions of anexternal resource (e.g., a third-party application 109 or applet) aremade available to a user via an interface of the messaging client 104.The messaging client 104 receives a user selection of an option tolaunch or access features of an external resource (e.g., a third-partyresource), such as external apps 109. The external resource may be athird-party application (external apps 109) installed on the clientdevice 102 (e.g., a “native app”) or a small-scale version of thethird-party application (e.g., an “applet”) that is hosted on the clientdevice 102 or remote of the client device 102 (e.g., on third-partyservers 110). The small-scale version of the third-party applicationincludes a subset of features and functions of the third-partyapplication (e.g., the full-scale, native version of the third-partystandalone application) and is implemented using a markup-languagedocument. In one example, the small-scale version of the third-partyapplication (e.g., an “applet”) is a web-based, markup-language versionof the third-party application and is embedded in the messaging client104. In addition to using markup-language documents (e.g., a .^(∗)mlfile), an applet may incorporate a scripting language (e.g., a . ^(∗)jsfile or a j son file) and a style sheet (e.g., a .^(∗)ss file).

In response to receiving a user selection of the option to launch oraccess features of the external resource (external app 109), themessaging client 104 determines whether the selected external resourceis a web-based external resource or a locally-installed externalapplication. In some cases, external applications 109 that are locallyinstalled on the client device 102 can be launched independently of andseparately from the messaging client 104, such as by selecting an icon,corresponding to the external application 109, on a home screen of theclient device 102. Small-scale versions of such external applicationscan be launched or accessed via the messaging client 104 and, in someexamples, no or limited portions of the small-scale external applicationcan be accessed outside of the messaging client 104. The small-scaleexternal application can be launched by the messaging client 104receiving, from an external app(s) server 110, a markup-languagedocument associated with the small-scale external application andprocessing such a document.

In response to determining that the external resource is alocally-installed external application 109, the messaging client 104instructs the client device 102 to launch the external application 109by executing locally-stored code corresponding to the externalapplication 109. In response to determining that the external resourceis a web-based resource, the messaging client 104 communicates with theexternal app(s) servers 110 to obtain a markup-language documentcorresponding to the selected resource. The messaging client 104 thenprocesses the obtained markup-language document to present the web-basedexternal resource within a user interface of the messaging client 104.

The messaging client 104 can notify a user of the client device 102, orother users related to such a user (e.g., “friends”), of activity takingplace in one or more external resources. For example, the messagingclient 104 can provide participants in a conversation (e.g., a chatsession) in the messaging client 104 with notifications relating to thecurrent or recent use of an external resource by one or more members ofa group of users. One or more users can be invited to join in an activeexternal resource or to launch a recently-used but currently inactive(in the group of friends) external resource. The external resource canprovide participants in a conversation, each using a respectivemessaging client 104, with the ability to share an item, status, state,or location in an external resource with one or more members of a groupof users into a chat session. The shared item may be an interactive chatcard with which members of the chat can interact, for example, to launchthe corresponding external resource, view specific information withinthe external resource, or take the member of the chat to a specificlocation or state within the external resource. Within a given externalresource, response messages can be sent to users on the messaging client104. The external resource can selectively include different media itemsin the responses based on a current context of the external resource.

The messaging client 104 can present a list of the available externalresources (e.g., third-party or external applications 109 or applets) toa user to launch or access a given external resource. This list can bepresented in a context-sensitive menu. For example, the iconsrepresenting different ones of the external application 109 (or applets)can vary based on how the menu is launched by the user (e.g., from aconversation interface or from a nonconversation interface).

The messaging client 104 can present a remote control setup interface.The remote control setup interface allows the user to scan and captureimages and/or videos of various rooms in a home, household, office,restaurant, or any other physical location. In one example, themessaging client 104 can receive input that specifies a current physicallocation of the client device 102. The current physical location canidentify an entire home or a particular room in the home, such as theliving room. In response to receiving the input that specifies thecurrent physical location (e.g., including a textual or visualidentifier of the physical location, such as a room name or type), themessaging client 104 processes the images and/or videos to identify aset of real-world objects depicted in the images and/or videos. Forexample, the messaging client 104 can instruct the user to walk aroundthe physical location to capture a video of the entire location, such asa 360-degree video. This way, any real-world object that is at thecurrent physical location can be represented in the captured video andidentified by the messaging client 104, such as by performing one ormore object recognition techniques or processes. The messaging client104 can automatically associate each of the real-world objects with thecurrent physical location (e.g., the room name or type) and with theirrespective previously registered IoT device.

In some implementations, the messaging client 104 obtains from a remoteserver, such as a particular product manufacturer, a list of IoT devicesthat have previously been registered to an account associated with theclient device 102. Namely, the messaging client 104 can receive inputfrom the user that provides an account identifier (e.g., username andpassword) for IoT devices of one or more product manufacturers. Such IoTdevices can include a list of connected video cameras. A connected videocamera includes a stationary or non-stationary device that is mounted orplaced in a physical location and which provides a live or real-timevideo feed that can be accessed over the Internet through a secureconnection. The messaging client 104 accesses a website or databaseassociated with the one or more product manufacturers based on theaccount identifier. The messaging client 104 obtains, from the websiteor database, IoT devices that are associated with the account identifierand indicated to be currently active in the user’s account.

The messaging client 104 can obtain unique features or attributes ofeach of the IoT devices that are obtained from the website or database.In one example, the messaging client 104 can search the unique featuresor attributes of each IoT device in the list received from the websiteor database based on the features or attributes of the real-worldobjects identified in the video or images of the current physicallocation. For example, the IoT device can include a television objectwith certain visual attributes, such as a size, dimensions, and color.The messaging client 104 can compare the visual attributes of thetelevision real-world object detected in the video or images captured atthe current physical location to the visual attributes of the televisionobject on the list. The messaging client 104 can determine that thevideo or images captured at the current physical location include visualattributes that match a set of visual attributes of a respective set ofIoT devices in the list. In response, the messaging client 104 candetermine that the current location includes the set of IoT devices inthe list. The messaging client 104 can associate each IoT device of theset with the current physical location (e.g., a GPS coordinate or rangeof GPS coordinates or the room name or type input by the user).

In one example, the messaging client 104 can present a list of videocamera IoT devices that are obtained from the website or database to theuser. The messaging client 104 can receive input from the user thatselects a subset of the video camera IoT devices in the list that isassociated with the current location. For example, the list of videocamera IoT devices can include a first set of cameras that are installedin a first area or room (e.g., kitchen, living room, patio, or outside)and can include a second set of cameras that are installed in a secondarea or room (e.g., a child’s bedroom). The user knows that the currentphysical location is the first area or room and as a result can selectthe first set of cameras instead of the second set of cameras.

In response to receiving the selection of the subset of video camera IoTdevices, the messaging client 104 can present to the user a graphicaluser interface that lists identifiers of a variety of real-world objectsrecognized or identified from the image or video of the current physicallocation. The messaging client 104 can receive input from the user thatassociates a first of the real-world objects with a first video cameraof the selected subset of video camera IoT devices and that associates asecond of the real-world objects with a second video camera of theselected subset of video camera IoT devices. For example, the messagingclient 104 can recognize a list of real-world objects including a frontdoor and a refrigerator in the video captured by the user at the currentphysical location. The messaging client 104 can receive input from theuser that associates the first video camera with the front door objectand the second video camera with the refrigerator object. In response,the messaging client 104 can store in a database an association betweenfeatures or attributes of the front door object and GPS or locationinformation of the current physical location with the first videocamera. The messaging client 104 can store in the database anassociation between features or attributes of the refrigerator objectand GPS or location information of the current physical location withthe second video camera.

In one example, the messaging client 104 can capture a video feed of asecond physical location and similarly recognize real-world objects atthe second physical location. For example, the messaging client 104 canrecognize a side of a wall object at the second physical location thatseparates or divides first and second rooms in a home. The messagingclient 104 can receive input from the user that selects a second subsetof the video camera IoT devices in the list that is associated with thecurrent physical location or the second physical location. In responseto receiving the selection of the second subset of video camera IoTdevices, the messaging client 104 can present to the user a graphicaluser interface that lists identifiers of a variety of real-world objectsrecognized or identified from the image or video of the second physicallocation. The messaging client 104 can receive input from the user thatassociates a third real-world object with a third video camera of theselected subset of video camera IoT devices. For example, the messagingclient 104 can receive input from the user that associates the thirdvideo camera with the side of the wall object. Namely, the messagingclient 104 can receive input that associates a video camera installed ata different physical location (e.g., the second room) with the secondphysical location (e.g., the first room). In this way, when the clientdevice 102 is physically located in the first room, the user can point acamera of the client device 102 towards the side of the wall thatdivides the first room from the second room and can automatically accessand view a video feed received from a connected video camera installedin the second room. In this case, the messaging client 104 can store inthe database an association between features or attributes of the sideof the wall object and GPS or location information of the secondphysical location with the third video camera.

In some implementations, the messaging client 104 can obtain an API fromthe one or more manufacturers that enable remote control of the set IoTdevices (e.g., connected video cameras) associated with the one or moremanufacturers. The messaging client 104 can use the API to enable remotecontrol of the set of IoT devices, such as to access a video feedcaptured by the connected video cameras. Specifically, the messagingclient 104 can associate the objects detected in the video or imageswith the current physical location and a given set of the connectedvideo cameras, and can also associate the API of the given set ofconnected video cameras with the detected objects and the currentphysical location. In this way, whenever an image of the real-worldobject is captured at the current physical location, the messagingclient 104 can automatically obtain the API associated with the IoTdevice associated with the depicted real-world object to present optionsfor remotely controlling the IoT device, such as by transmitting one ormore commands to the IoT device over a local shared or common wirelessnetwork (e.g., a local area network or wide area network). For example,whenever an image of the real-world object is captured at the currentphysical location, the messaging client 104 can automatically obtain theAPI associated with the video camera IoT device associated with thedepicted real-world object to receive a video feed from the video cameraof the IoT device and overlay the received video feed on top of theassociated real-world object.

In some cases, the messaging client 104 can determine that a group ofobjects detected at the current physical location fail to match (do nothave visual attributes that match visual attributes of the IoT devices)any of the IoT devices that have been previously registered to theuser’s account. For example, the messaging client 104 can detect anelectronic door lock real-world object in the video or images and candetermine that none of the IoT devices received from the website ordatabase includes an electronic door lock. In response, the messagingclient 104 can present a graphical user interface that presents anidentifier of the electronic door lock real-world object. The messagingclient 104 can search for a list of product manufacturers that includesmart IoT electronic door locks and presents the list of manufacturersto the user. The user can determine that a given manufacturer in thelist corresponds to the manufacturer of the identified electronic doorlock in the videos or images. In response, the messaging client 104 canreceive input that selects the given manufacturer. The messaging client104 can enable the user to create or access an account of the givenmanufacturer to register the electronic door lock (the IoT device at thelocation) with the given manufacturer. This allows the user to remotecontrol the electronic door lock device corresponding to the real-worldobject (e.g., the front door) depicted in the video or images of thecurrent physical location. After registering the electronic door lock,the messaging client 104 stores an identifier of the given manufacturerwith the electronic door lock object and the current physical location.The messaging client 104 can obtain an API of the given manufacturer forcontrolling the electronic door lock device and can associate that APIwith the identified real-world object along with the current physicallocation (e.g., the room name or type).

In such cases, a given real-world object (e.g., the front door) can beassociated with multiple IoT devices (e.g., a connected video camera,such as a doorbell camera, and an electronic door lock device). Themessaging client 104 can detect the given real-world object in an imagecaptured by the client device 102 at a location corresponding to thelocation of the given real-world object. In response, the messagingclient 104 communicates with the multiple IoT devices to enablesimultaneous control of the multiple IoT devices. For example, themessaging client 104 can overlay a video feed received from theconnected video camera associated with the given real-world object ontop of the given real-world object. The messaging client 104 can alsooverlay or display a graphical user interface that includes a menu ofcommands for controlling the electronic door lock device associated withthe given real-world object (e.g., a command to lock and a command tounlock the electronic door lock device). This allows the user to viewthe video feed of a real-world environment hidden behind the givenreal-world object (e.g., the front door) and also control access to thelocking mechanism of the given real-world object to provide physicalaccess to the real-world environment.

In another example, a second real-world object (e.g., the refrigerator)can be associated with multiple IoT devices (e.g., a connected videocamera, such as a camera inside of the refrigerator, and a refrigeratorIoT device). The messaging client 104 can detect the second real-worldobject in an image captured by the client device 102 at a locationcorresponding to the location of the second real-world object. Inresponse, the messaging client 104 communicates with the multiple IoTdevices to enable simultaneous control of the multiple IoT devices. Forexample, the messaging client 104 can overlay a video feed received fromthe connected video camera associated with the second real-world objecton top of the second real-world object which allows the user to see thecontents inside of the refrigerator, such as without opening therefrigerator door. The messaging client 104 can also overlay or displaya graphical user interface that includes a menu of commands forcontrolling the refrigerator IoT device associated with the secondreal-world object (e.g., a command to change the temperature of therefrigerator). This allows the user to view the video feed of areal-world environment hidden behind the second real-world object (e.g.,the refrigerator to see inside the refrigerator) and also control accessto the refrigerator IoT device corresponding to the second real-worldobject to control physical attributes of the real-world environment.

The process of detecting real-world objects in different physicallocations and associating such objects with their respective APIs toenable remote control of IoT devices can be repeated for multiplephysical locations. For example, the messaging client 104 can instructthe user to move to a new physical location, such as a new room in ahome, and repeat the process of scanning a video or images that depictone or more real-world objects at that new physical location. Themessaging client 104 can identify the real-world objects and search alist of previously registered IoT devices to determine whether theidentified real-world objects are associated with an account of the userthat enables remote control of the objects. The messaging client 104 canthen associate each object at the new physical location that correspondsto an IoT device that is pre-registered with an account with the newphysical location and the API of the particular device.

The messaging client 104 can receive a user request to remote control agiven object in a particular physical location or to view a video feedassociated with a given object in a physical location. In response, themessaging client 104 can activate a rear-facing or front-facing cameraof the client device 102. The messaging client 104 can instruct the userto point the camera at the real-world object of interest that the userwould like to remotely control or for which they would access a videofeed from an associated connected video camera. The messaging client 104can capture an image or images of the real-world object of interest,such as when the user selects an option indicating that the real-worldobject of interest is currently depicted in the image or images. Themessaging client 104 can perform object recognition on the receivedimage or images to generate a list of identified objects and theirrespective features.

The messaging client 104 can access a database by searching the databasebased on the particular physical location. For example, the messagingclient 104 can obtain a current set of GPS coordinates. The messagingclient 104 can identify in the database a set of GPS coordinates thatare within a certain threshold proximity or range (e.g., within 10meters) of the current set of GPS coordinates. In response toidentifying the set of GPS coordinates that are within the certainthreshold proximity to the current set of GPS coordinates, the messagingclient 104 obtains the list of IoT devices associated with the set ofGPS coordinates. The messaging client 104 compares one or moreattributes of the real-world objects currently depicted in the image orimages with the attributes associated with the devices in the obtainedlist of IoT devices. For example, the messaging client 104 can compareattributes of a real-world door object with the attributes associatedwith the IoT devices to find an IoT device that includes matchingattributes of the real-world door object. In response to determiningthat a given real-world object currently depicted in the image or imagesmatches the attributes associated with a given IoT device previouslyassociated with the set of GPS coordinates, the messaging client 104access the API of the given IoT device.

In one example, the messaging client 104 uses the accessed API toidentify a set of commands for controlling the given IoT device. Themessaging client 104 generates a graphical user interface that includesa subset of the commands. In another example, the messaging client 104communicates an identifier of the IoT device to a manufacturer of theIoT device. The manufacturer then selects a subset of commands to makeavailable to the messaging client 104 and provides to the messagingclient 104 that subset of commands along with instructions fortransmitting those commands directly to the IoTdevice. The messagingclient 104 can then render a presentation of a graphical user interfacethat lists the subset of commands.

In one example, the messaging client 104 uses the accessed API tocommunicate with the given IoT device (e.g., a connected video camera)to obtain access to a video feed captured by the given IoT device. Themessaging client 104 generates a graphical user interface that includesa virtual object that is placed or overlaid on top of the depictedreal-world object. The virtual object can have dimensions correspondingto all or a portion of the real-world object. The messaging client 104then populates the virtual object with the video feed received from thegiven IoT device. In another example, the messaging client 104communicates an identifier of the IoT device to a manufacturer server ofthe IoT device. The manufacturer server then communicates with the IoTdevice, receives the video feed from the IoT device, and provides thevideo feed to the messaging client 104. The messaging client 104 canthen render a presentation of the video feed received from themanufacturer server.

For example, the messaging client 104 determines that the given IoTdevice corresponds to an electronic door lock mechanism (device). Themessaging client 104 can access and present a list of electronic doorlock mechanism commands, such as a door unlock command, a door lockcommand, a ring doorbell command, and so forth. The messaging client 104can receive input from a user that selects a given command of thecommands that is listed in the graphical user interface. In response,the messaging client 104 establishes a communication with the given IoTdevice via the API to transmit the given command to the given IoTdevice. This causes the IoT device (e.g., the electronic door lockmechanism) to perform an operation corresponding to the given command.In some implementations, the messaging client 104 provides the givencommand to the manufacturer server of the IoT device along with accountinformation of the user. Namely, rather than communicating directly withthe IoT device, the messaging client 104 routes a desired command to theIoT device via the manufacturer server of the IoT device. This enhancessecurity of communicating with the IoT devices. For example, themanufacturer server then uses a secure interface to communicate with theIoT device to transmit the given command to the IoT device, such as tolock or unlock the electronic door lock mechanism. This causes the IoTdevice to perform an operation corresponding to the given command.

In some examples, the messaging client 104 detects multiple real-worldobjects in an image or video captured in the location that matchmultiple IoT devices. In such cases, the messaging client 104 computesthe proximity of the client device 102 to each of the multiplereal-world objects. The messaging client 104 then automatically selectsa particular real-world object that is closer in proximity to the clientdevice 102 than another real-world object. The messaging client 104automatically accesses and presents a video feed from the IoT deviceassociated with the particular real-world object that is determined tobe closer in proximity to the client device 102 than another real-worldobject.

System Architecture

FIG. 2 is a block diagram illustrating further details regarding themessaging system 100, according to some examples. Specifically, themessaging system 100 is shown to comprise the messaging client 104 andthe application servers 114. The messaging system 100 embodies a numberof subsystems, which are supported on the client side by the messagingclient 104 and on the sever side by the application servers 114. Thesesubsystems include, for example, an ephemeral timer system 202, acollection management system 204, an augmentation system 208, a mapsystem 210, a game system 212, and an external resource system 220.

The ephemeral timer system 202 is responsible for enforcing thetemporary or time-limited access to content by the messaging client 104and the messaging server 118. The ephemeral timer system 202incorporates a number of timers that, based on duration and displayparameters associated with a message, or collection of messages (e.g., astory), selectively enable access (e.g., for presentation and display)to messages and associated content via the messaging client 104. Furtherdetails regarding the operation of the ephemeral timer system 202 areprovided below.

The collection management system 204 is responsible for managing sets orcollections of media (e.g., collections of text, image video, and audiodata). A collection of content (e.g., messages, including images, video,text, and audio) may be organized into an “event gallery” or an “eventstory.” Such a collection may be made available for a specified timeperiod, such as the duration of an event to which the content relates.For example, content relating to a music concert may be made availableas a “story” for the duration of that music concert. The collectionmanagement system 204 may also be responsible for publishing an iconthat provides notification of the existence of a particular collectionto the user interface of the messaging client 104.

The collection management system 204 further includes a curationinterface 206 that allows a collection manager to manage and curate aparticular collection of content. For example, the curation interface206 enables an event organizer to curate a collection of contentrelating to a specific event (e.g., delete inappropriate content orredundant messages). Additionally, the collection management system 204employs machine vision (or image recognition technology) and contentrules to automatically curate a content collection. In certain examples,compensation may be paid to a user for the inclusion of user-generatedcontent into a collection. In such cases, the collection managementsystem 204 operates to automatically make payments to such users for theuse of their content.

The augmentation system 208 provides various functions that enable auser to augment (e.g., annotate or otherwise modify or edit) mediacontent associated with a message. For example, the augmentation system208 provides functions related to the generation and publishing of mediaoverlays for messages processed by the messaging system 100. Theaugmentation system 208 operatively supplies a media overlay oraugmentation (e.g., an image filter) to the messaging client 104 basedon a geolocation of the client device 102. In another example, theaugmentation system 208 operatively supplies a media overlay to themessaging client 104 based on other information, such as social networkinformation of the user of the client device 102. A media overlay mayinclude audio and visual content and visual effects. Examples of audioand visual content include pictures, texts, logos, animations, and soundeffects. An example of a visual effect includes color overlaying. Theaudio and visual content or the visual effects can be applied to a mediacontent item (e.g., a photo) at the client device 102. For example, themedia overlay may include text, a graphical element, or image that canbe overlaid on top of a photograph taken by the client device 102. Inanother example, the media overlay includes an identification of alocation overlay (e.g., Venice beach), a name of a live event, or a nameof a merchant overlay (e.g., Beach Coffee House). In another example,the augmentation system 208 uses the geolocation of the client device102 to identify a media overlay that includes the name of a merchant atthe geolocation of the client device 102. The media overlay may includeother indicia associated with the merchant. The media overlays may bestored in the database 126 and accessed through the database server 120.

In some examples, the augmentation system 208 provides a user-basedpublication platform that enables users to select a geolocation on a mapand upload content associated with the selected geolocation. The usermay also specify circumstances under which a particular media overlayshould be offered to other users. The augmentation system 208 generatesa media overlay that includes the uploaded content and associates theuploaded content with the selected geolocation.

In other examples, the augmentation system 208 provides a merchant-basedpublication platform that enables merchants to select a particular mediaoverlay associated with a geolocation via a bidding process. Forexample, the augmentation system 208 associates the media overlay of thehighest bidding merchant with a corresponding geolocation for apredefined amount of time. The augmentation system 208 communicates withthe image processing server 122 to obtain AR experiences and presentsidentifiers of such experiences in one or more user interfaces (e.g., asicons over a real-time image or video or as thumbnails or icons ininterfaces dedicated for presented identifiers of AR experiences). Oncean AR experience is selected, one or more images, videos, or ARgraphical elements are retrieved and presented as an overlay on top ofthe images or video captured by the client device 102. In some cases,the camera is switched to a front-facing view (e.g., the front-facingcamera of the client device 102 is activated in response to activationof a particular AR experience) and the images from the front-facingcamera of the client device 102 start being displayed on the clientdevice 102 instead of the rear-facing camera of the client device 102.The one or more images, videos, or AR graphical elements are retrievedand presented as an overlay on top of the images that are captured anddisplayed by the front-facing camera of the client device 102.

In other examples, the augmentation system 208 is able to communicateand exchange data with another augmentation system 208 on another clientdevice 102 and with the server via the network 112. The data exchangedcan include a session identifier that identifies the shared AR session,a transformation between a first client device 102 and a second clientdevice 102 (e.g., a plurality of client devices 102 include the firstand second devices) that is used to align the shared AR session to acommon point of origin, a common coordinate frame, functions (e.g.,commands to invoke functions), and other payload data (e.g., text,audio, video, or other multimedia data).

The augmentation system 208 sends the transformation to the secondclient device 102 so that the second client device 102 can adjust the ARcoordinate system based on the transformation. In this way, the firstand second client devices 102 synch up their coordinate systems andframes for displaying content in the AR session. Specifically, theaugmentation system 208 computes the point of origin of the secondclient device 102 in the coordinate system of the first client device102. The augmentation system 208 can then determine an offset in thecoordinate system of the second client device 102 based on the positionof the point of origin from the perspective of the second client device102 in the coordinate system of the second client device 102. Thisoffset is used to generate the transformation so that the second clientdevice 102 generates AR content according to a common coordinate systemor frame as the first client device 102.

The augmentation system 208 can communicate with the client device 102to establish individual or shared AR sessions. The augmentation system208 can also be coupled to the messaging server 118 to establish anelectronic group communication session (e.g., group chat, instantmessaging) for the client devices 102 in a shared AR session. Theelectronic group communication session can be associated with a sessionidentifier provided by the client devices 102 to gain access to theelectronic group communication session and to the shared AR session. Inone example, the client devices 102 first gain access to the electronicgroup communication session and then obtain the session identifier inthe electronic group communication session that allows the clientdevices 102 to access the shared AR session. In some examples, theclient devices 102 are able to access the shared AR session without aidor communication with the augmentation system 208 in the applicationservers 114.

The map system 210 provides various geographic location functions andsupports the presentation of map-based media content and messages by themessaging client 104. For example, the map system 210 enables thedisplay of user icons or avatars (e.g., stored in profile data 316) on amap to indicate a current or past location of “friends” of a user, aswell as media content (e.g., collections of messages includingphotographs and videos) generated by such friends, within the context ofa map. For example, a message posted by a user to the messaging system100 from a specific geographic location may be displayed within thecontext of a map at that particular location to “friends” of a specificuser on a map interface of the messaging client 104. A user canfurthermore share his or her location and status information (e.g.,using an appropriate status avatar) with other users of the messagingsystem 100 via the messaging client 104, with this location and statusinformation being similarly displayed within the context of a mapinterface of the messaging client 104 to selected users.

The game system 212 provides various gaming functions within the contextof the messaging client 104. The messaging client 104 provides a gameinterface providing a list of available games (e.g., web-based games orweb-based applications) that can be launched by a user within thecontext of the messaging client 104 and played with other users of themessaging system 100. The messaging system 100 further enables aparticular user to invite other users to participate in the play of aspecific game by issuing invitations to such other users from themessaging client 104. The messaging client 104 also supports both voiceand text messaging (e.g., chats) within the context of gameplay,provides a leaderboard for the games, and also supports the provision ofin-game rewards (e.g., coins and items).

The external resource system 220 provides an interface for the messagingclient 104 to communicate with external app(s) servers 110 to launch oraccess external resources. Each external resource (apps) server 110hosts, for example, a markup language (e.g., HTML5) based application orsmall-scale version of an external application (e.g., game, utility,payment, or ride-sharing application that is external to the messagingclient 104). The messaging client 104 may launch a web-based resource(e.g., application) by accessing the HTML5 file from the externalresource (apps) servers 110 associated with the web-based resource. Incertain examples, applications hosted by external resource servers 110are programmed in JavaScript leveraging a Software Development Kit (SDK)provided by the messaging server 118. The SDK includes APIs withfunctions that can be called or invoked by the web-based application. Incertain examples, the messaging server 118 includes a JavaScript librarythat provides a given third-party resource access to certain user dataof the messaging client 104. HTML5 is used as an example technology forprogramming games, but applications and resources programmed based onother technologies can be used.

In order to integrate the functions of the SDK into the web-basedresource, the SDK is downloaded by an external resource (apps) server110 from the messaging server 118 or is otherwise received by theexternal resource (apps) server 110. Once downloaded or received, theSDK is included as part of the application code of a web-based externalresource. The code of the web-based resource can then call or invokecertain functions of the SDK to integrate features of the messagingclient 104 into the web-based resource.

The SDK stored on the messaging server 118 effectively provides thebridge between an external resource (e.g., third-party or externalapplications 109 or applets) and the messaging client 104. This providesthe user with a seamless experience of communicating with other users onthe messaging client 104, while also preserving the look and feel of themessaging client 104. To bridge communications between an externalresource and a messaging client 104, in certain examples, the SDKfacilitates communication between external resource servers 110 and themessaging client 104. In certain examples, a WcbViewJavaScriptBridgerunning on a client device 102 establishes two oneway communicationchannels between an external resource and the messaging client 104.Messages are sent between the external resource and the messaging client104 via these communication channels asynchronously. Each SDK functioninvocation is sent as a message and callback. Each SDK function isimplemented by constructing a unique callback identifier and sending amessage with that callback identifier.

By using the SDK, not all information from the messaging client 104 isshared with external resource servers 1 10. The SDK limits whichinformation is shared based on the needs of the external resource. Incertain examples, each external resource server 110 provides an HTML5file corresponding to the web-based external resource to the messagingserver 118. The messaging server 118 can add a visual representation(such as a box art or other graphic) of the web-based external resourcein the messaging client 104. Once the user selects the visualrepresentation or instructs the messaging client 104 through a graphicaluser interface of the messaging client 104 to access features of theweb-based external resource, the messaging client 104 obtains the HTML5file and instantiates the resources necessary to access the features ofthe web-based external resource.

The messaging client 104 presents a graphical user interface (e.g., alanding page or title screen) for an external resource. During, before,or after presenting the landing page or title screen, the messagingclient 104 determines whether the launched external resource has beenpreviously authorized to access user data of the messaging client 104.In response to determining that the launched external resource has beenpreviously authorized to access user data of the messaging client 104,the messaging client 104 presents another graphical user interface ofthe external resource that includes functions and features of theexternal resource. In response to determining that the launched externalresource has not been previously authorized to access user data of themessaging client 104, after a threshold period of time (e.g., 3 seconds)of displaying the landing page or title screen of the external resource,the messaging client 104 slides up (e.g., animates a menu as surfacingfrom a bottom of the screen to a middle of or other portion of thescreen) a menu for authorizing the external resource to access the userdata. The menu identifies the type of user data that the externalresource will be authorized to use. In response to receiving a userselection of an accept option, the messaging client 104 adds theexternal resource to a list of authorized external resources and allowsthe external resource to access user data from the messaging client 104.In some examples, the external resource is authorized by the messagingclient 104 to access the user data in accordance with an OAuth 2framework.

The messaging client 104 controls the type of user data that is sharedwith external resources based on the type of external resource beingauthorized. For example, external resources that include full-scaleexternal applications (e.g., a third-party or external application 109)are provided with access to a first type of user data (e.g., onlytwo-dimensional (2D) avatars of users with or without different avatarcharacteristics). As another example, external resources that includesmall-scale versions of external applications (e.g., web-based versionsof third-party applications) are provided with access to a second typeof user data (e.g., payment information, 2D avatars of users,three-dimensional (3D) avatars of users, and avatars with various avatarcharacteristics). Avatar characteristics include different ways tocustomize a look and feel of an avatar, such as different poses, facialfeatures, clothing, and so forth.

A remote control system 224 provides an interface for detectingreal-world objects in a captured image and identifying IoT devicescorresponding to the real-world objects. The remote control system 224presents a user interface to select a given IoT device to control and totransmit one or more commands to the given IoT device. The remotecontrol system 224 presents a user interface in which a video feedreceived from a given IoT device is overlaid on top of the associatedreal-world object depicted in the image. An illustrative implementationof the remote control system 224 is shown and described in connectionwith FIG. 5 below.

Data Architecture

FIG. 3 is a schematic diagram illustrating data structures 300, whichmay be stored in the database 126 of the messaging server system 108,according to certain examples. While the content of the database 126 isshown to comprise a number of tables, it will be appreciated that thedata could be stored in other types of data structures (e.g., as anobject-oriented database).

The database 126 includes message data stored within a message table302. This message data includes, for any particular one message, atleast message sender data, message recipient (or receiver) data, and apayload. Further details regarding information that may be included in amessage, and included within the message data stored in the messagetable 302, are described below with reference to FIG. 4 .

An entity table 306 stores entity data, and is linked (e.g.,referentially) to an entity graph 308 and profile data 316. Entities forwhich records are maintained within the entity table 306 may includeindividuals, corporate entities, organizations, objects, places, events,and so forth. Regardless of entity type, any entity regarding which themessaging server system 108 stores data may be a recognized entity. Eachentity is provided with a unique identifier, as well as an entity typeidentifier (not shown).

The entity graph 308 stores information regarding relationships andassociations between entities. Such relationships may be social,professional (e.g., work at a common corporation or organization),interested-based, or activity-based, merely for example.

The profile data 316 stores multiple types of profile data about aparticular entity. The profile data 316 may be selectively used andpresented to other users of the messaging system 100, based on privacysettings specified by a particular entity. Where the entity is anindividual, the profile data 316 includes, for example, a user name,telephone number, address, and settings (e.g., notification and privacysettings), as well as a user-selected avatar representation (orcollection of such avatar representations). A particular user may thenselectively include one or more of these avatar representations withinthe content of messages communicated via the messaging system 100 and onmap interfaces displayed by messaging clients 104 to other users. Thecollection of avatar representations may include “status avatars,” whichpresent a graphical representation of a status or activity that the usermay select to communicate at a particular time.

Where the entity is a group, the profile data 316 for the group maysimilarly include one or more avatar representations associated with thegroup, in addition to the group name, members, and various settings(e.g., notifications) for the relevant group.

The database 126 also stores augmentation data, such as overlays orfilters, in an augmentation table 310. The augmentation data isassociated with and applied to videos (for which data is stored in avideo table 304) and images (for which data is stored in an image table312).

The database 126 can also store data pertaining to individual and sharedAR sessions. This data can include data communicated between an ARsession client controller of a first client device 102 and another ARsession client controller of a second client device 102, and datacommunicated between the AR session client controller and theaugmentation system 208. Data can include data used to establish thecommon coordinate frame of the shared AR scene, the transformationbetween the devices, the session identifier, images depicting a body,skeletal joint positions, wrist joint positions, feet, and so forth.

Filters, in one example, are overlays that are displayed as overlaid onan image or video during presentation to a recipient user. Filters maybe of various types, including user-selected filters from a set offilters presented to a sending user by the messaging client 104 when thesending user is composing a message. Other types of filters includegeolocation filters (also known as geofilters), which may be presentedto a sending user based on geographic location. For example, geolocationfilters specific to a neighborhood or special location may be presentedwithin a user interface by the messaging client 104, based ongeolocation information determined by a Global Positioning System (GPS)unit of the client device 102.

Another type of filter is a data filter, which may be selectivelypresented to a sending user by the messaging client 104, based on otherinputs or information gathered by the client device 102 during themessage creation process. Examples of data filters include currenttemperature at a specific location, a current speed at which a sendinguser is traveling, battery life for a client device 102, or the currenttime.

Other augmentation data that may be stored within the image table 312includes AR content items (e.g., corresponding to applying ARexperiences). An AR content item or AR item may be a real-time specialeffect and sound that may be added to an image or a video.

As described above, augmentation data includes AR content items,overlays, image transformations, AR images, AR logos or emblems, andsimilar terms that refer to modifications that may be applied to imagedata (e.g., videos or images). This includes real-time modifications,which modify an image as it is captured using device sensors (e.g., oneor multiple cameras) of a client device 102 and then displayed on ascreen of the client device 102 with the modifications. This alsoincludes modifications to stored content, such as video clips in agallery that may be modified. For example, in a client device 102 withaccess to multiple AR content items, a user can use a single video clipwith multiple AR content items to see how the different AR content itemswill modify the stored clip. For example, multiple AR content items thatapply different pseudorandom movement models can be applied to the samecontent by selecting different AR content items for the content.Similarly, real-time video capture may be used with an illustratedmodification to show how video images currently being captured bysensors of a client device 102 would modify the captured data. Such datamay simply be displayed on the screen and not stored in memory, or thecontent captured by the device sensors may be recorded and stored inmemory with or without the modifications (or both). In some systems, apreview feature can show how different AR content items will look withindifferent windows in a display at the same time. This can, for example,enable multiple windows with different pseudorandom animations to beviewed on a display at the same time.

Data and various systems using AR content items or other such transformsystems to modify content using this data can thus involve detection ofobjects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects,etc.), tracking of such objects as they leave, enter, and move aroundthe field of view in video frames, and the modification ortransformation of such objects as they are tracked. In various examples,different methods for achieving such transformations may be used. Someexamples may involve generating a 3D mesh model of the object or objectsand using transformations and animated textures of the model within thevideo to achieve the transformation. In other examples, tracking ofpoints on an object may be used to place an image or texture (which maybe 2D or 3D) at the tracked position. In still further examples, neuralnetwork analysis of video frames may be used to place images, models, ortextures in content (e.g., images or frames of video). AR content itemsthus refer both to the images, models, and textures used to createtransformations in content, as well as to additional modeling andanalysis information needed to achieve such transformations with objectdetection, tracking, and placement.

Real-time video processing can be performed with any kind of video data(e.g., video streams, video files, etc.) saved in a memory of acomputerized system of any kind. For example, a user can load videofiles and save them in a memory of a device or can generate a videostream using sensors of the device. Additionally, any objects can beprocessed using a computer animation model, such as a human’s face andparts of a human body, animals, or nonliving things such as chairs,cars, or other objects.

In some examples, when a particular modification is selected along withcontent to be transformed, elements to be transformed are identified bythe computing device and then detected and tracked if they are presentin the frames of the video. The elements of the object are modifiedaccording to the request for modification, thus transforming the framesof the video stream. Transformation of frames of a video stream can beperformed by different methods for different kinds of transformation.For example, for transformations of frames mostly referring to changingforms of an object’s elements, characteristic points for each element ofan object are calculated (e.g., using an Active Shape Model (ASM) orother known methods). Then, a mesh based on the characteristic points isgenerated for each of the at least one element of the object. This meshis used in the following stage of tracking the elements of the object inthe video stream. In the process of tracking, the mentioned mesh foreach element is aligned with a position of each element. Then,additional points are generated on the mesh. A first set of first pointsis generated for each element based on a request for modification, and aset of second points is generated for each element based on the set offirst points and the request for modification. Then, the frames of thevideo stream can be transformed by modifying the elements of the objecton the basis of the sets of first and second points and the mesh. Insuch method, a background of the modified object can be changed ordistorted as well by tracking and modifying the background.

In some examples, transformations changing some areas of an object usingits elements can be performed by calculating characteristic points foreach element of an object and generating a mesh based on the calculatedcharacteristic points. Points are generated on the mesh and then variousareas based on the points are generated. The elements of the object arethen tracked by aligning the area for each element with a position foreach of the at least one elements, and properties of the areas can bemodified based on the request for modification, thus transforming theframes of the video stream. Depending on the specific request formodification, properties of the mentioned areas can be transformed indifferent ways. Such modifications may involve changing color of areas;removing at least some part of areas from the frames of the videostream; including one or more new objects into areas which are based ona request for modification; and modifying or distorting the elements ofan area or object. In various examples, any combination of suchmodifications or other similar modifications may be used. For certainmodels to be animated, some characteristic points can be selected ascontrol points to be used in determining the entire state-space ofoptions for the model animation.

In some examples of a computer animation model to transform image datausing face detection, the face is detected on an image with use of aspecific face detection algorithm (e.g., Viola-Jones). Then, an ASMalgorithm is applied to the face region of an image to detect facialfeature reference points.

Other methods and algorithms suitable for face detection can be used.For example, in some examples, features are located using a landmark,which represents a distinguishable point present in most of the imagesunder consideration. For facial landmarks, for example, the location ofthe left eye pupil may be used. If an initial landmark is notidentifiable (e.g., if a person has an eyepatch), secondary landmarksmay be used. Such landmark identification procedures may be used for anysuch objects. In some examples, a set of landmarks forms a shape. Shapescan be represented as vectors using the coordinates of the points in theshape. One shape is aligned to another with a similarity transform(allowing translation, scaling, and rotation) that minimizes the averageEuclidean distance between shape points. The mean shape is the mean ofthe aligned training shapes.

In some examples, a search is started for landmarks from the mean shapealigned to the position and size of the face determined by a global facedetector. Such a search then repeats the steps of suggesting a tentativeshape by adjusting the locations of shape points by template matching ofthe image texture around each point and then conforming the tentativeshape to a global shape model until convergence occurs. In some systems,individual template matches are unreliable, and the shape model poolsthe results of the weak template matches to form a stronger overallclassifier. The entire search is repeated at each level in an imagepyramid, from coarse to fine resolution.

A transformation system can capture an image or video stream on a clientdevice (e.g., the client device 102) and perform complex imagemanipulations locally on the client device 102 while maintaining asuitable user experience, computation time, and power consumption. Thecomplex image manipulations may include size and shape changes, emotiontransfers (e.g., changing a face from a frown to a smile), statetransfers (e.g., aging a subject, reducing apparent age, changinggender), style transfers, graphical element application, and any othersuitable image or video manipulation implemented by a convolutionalneural network that has been configured to execute efficiently on theclient device 102.

In some examples, a computer animation model to transform image data canbe used by a system where a user may capture an image or video stream ofthe user (e.g., a selfie) using a client device 102 having a neuralnetwork operating as part of a messaging client 104 operating on theclient device 102. The transformation system operating within themessaging client 104 determines the presence of a face within the imageor video stream and provides modification icons associated with acomputer animation model to transform image data, or the computeranimation model can be present as associated with an interface describedherein. The modification icons include changes that may be the basis formodifying the user’s face within the image or video stream as part ofthe modification operation. Once a modification icon is selected, thetransformation system initiates a process to convert the image of theuser to reflect the selected modification icon (e.g., generate a smilingface on the user). A modified image or video stream may be presented ina graphical user interface displayed on the client device 102 as soon asthe image or video stream is captured and a specified modification isselected. The transformation system may implement a complexconvolutional neural network on a portion of the image or video streamto generate and apply the selected modification. That is, the user maycapture the image or video stream and be presented with a modifiedresult in real-time or near real-time once a modification icon has beenselected. Further, the modification may be persistent while the videostream is being captured and the selected modification icon remainstoggled. Machine-taught neural networks may be used to enable suchmodifications.

The graphical user interface, presenting the modification performed bythe transformation system, may supply the user with additionalinteraction options. Such options may be based on the interface used toinitiate the content capture and selection of a particular computeranimation model (e.g., initiation from a content creator userinterface). In various examples, a modification may be persistent afteran initial selection of a modification icon. The user may toggle themodification on or off by tapping or otherwise selecting the face beingmodified by the transformation system and store it for later viewing orbrowse to other areas of the imaging application. Where multiple facesare modified by the transformation system, the user may toggle themodification on or off globally by tapping or selecting a single facemodified and displayed within a graphical user interface. In someexamples, individual faces, among a group of multiple faces, may beindividually modified, or such modifications may be individually toggledby tapping or selecting the individual face or a series of individualfaces displayed within the graphical user interface.

A story table 314 stores data regarding collections of messages andassociated image, video, or audio data, which are compiled into acollection (e.g., a story or a gallery). The creation of a particularcollection may be initiated by a particular user (e.g., each user forwhich a record is maintained in the entity table 306). A user may createa “personal story” in the form of a collection of content that has beencreated and sent/broadcast by that user. To this end, the user interfaceof the messaging client 104 may include an icon that is user-selectableto enable a sending user to add specific content to his or her personalstory.

A collection may also constitute a “live story,” which is a collectionof content from multiple users that is created manually, automatically,or using a combination of manual and automatic techniques. For example,a “live story” may constitute a curated stream of user-submitted contentfrom various locations and events. Users whose client devices havelocation services enabled and are at a common location event at aparticular time may, for example, be presented with an option, via auser interface of the messaging client 104, to contribute content to aparticular live story. The live story may be identified to the user bythe messaging client 104, based on his or her location. The end resultis a “live story” told from a community perspective.

A further type of content collection is known as a “location story,”which enables a user whose client device 102 is located within aspecific geographic location (e.g., on a college or university campus)to contribute to a particular collection. In some examples, acontribution to a location story may require a second degree ofauthentication to verify that the end user belongs to a specificorganization or other entity (e.g., is a student on the universitycampus).

As mentioned above, the video table 304 stores video data that, in oneexample, is associated with messages for which records are maintainedwithin the message table 302. Similarly, the image table 312 storesimage data associated with messages for which message data is stored inthe entity table 306. The entity table 306 may associate variousaugmentations from the augmentation table 310 with various images andvideos stored in the image table 312 and the video table 304.

Data Communications Architecture

FIG. 4 is a schematic diagram illustrating a structure of a message 400,according to some examples, generated by a messaging client 104 forcommunication to a further messaging client 104 or the messaging server118. The content of a particular message 400 is used to populate themessage table 302 stored within the database 126, accessible by themessaging server 118. Similarly, the content of a message 400 is storedin memory as “in-transit” or “in-flight” data of the client device 102or the application servers 114. A message 400 is shown to include thefollowing example components:

-   message identifier 402: a unique identifier that identifies the    message 400.-   message text payload 404: text, to be generated by a user via a user    interface of the client device 102, and that is included in the    message 400.-   message image payload 406: image data, captured by a camera    component of a client device 102 or retrieved from a memory    component of a client device 102, and that is included in the    message 400. Image data for a sent or received message 400 may be    stored in the image table 312.-   message video payload 408: video data, captured by a camera    component or retrieved from a memory component of the client device    102, and that is included in the message 400. Video data for a sent    or received message 400 may be stored in the video table 304.-   message audio payload 410: audio data, captured by a microphone or    retrieved from a memory component of the client device 102, and that    is included in the message 400.-   message augmentation data 412: augmentation data (e.g., filters,    stickers, or other annotations or enhancements) that represents    augmentations to be applied to message image payload 406, message    video payload 408, or message audio payload 410 of the message 400.    Augmentation data for a sent or received message 400 may be stored    in the augmentation table 310.-   message duration parameter 414: parameter value indicating, in    seconds, the amount of time for which content of the message (e.g.,    the message image payload 406, message video payload 408, message    audio payload 410) is to be presented or made accessible to a user    via the messaging client 104.-   message geolocation parameter 416: geolocation data (e.g.,    latitudinal and longitudinal coordinates) associated with the    content payload of the message. Multiple message geolocation    parameter 416 values may be included in the payload, each of these    parameter values being associated with respect to content items    included in the content (e.g., a specific image within the message    image payload 406, or a specific video in the message video payload    408).-   message story identifier 418: identifier values identifying one or    more content collections (e.g., “stories” identified in the story    table 314) with which a particular content item in the message image    payload 406 of the message 400 is associated. For example, multiple    images within the message image payload 406 may each be associated    with multiple content collections using identifier values.-   message tag 420: each message 400 may be tagged with multiple tags,    each of which is indicative of the subject matter of content    included in the message payload. For example, where a particular    image included in the message image payload 406 depicts an animal    (e.g., a lion), a tag value may be included within the message tag    420 that is indicative of the relevant animal. Tag values may be    generated manually, based on user input, or may be automatically    generated using, for example, image recognition.-   message sender identifier 422: an identifier (e.g., a messaging    system identifier, email address, or device identifier) indicative    of a user of the client device 102 on which the message 400 was    generated and from which the message 400 was sent.-   message receiver identifier 424: an identifier (e.g., a messaging    system identifier, email address, or device identifier) indicative    of a user of the client device 102 to which the message 400 is    addressed.

The contents (e.g., values) of the various components of message 400 maybe pointers to locations in tables within which content data values arestored. For example, an image value in the message image payload 406 maybe a pointer to (or address of) a location within an image table 312.Similarly, values within the message video payload 408 may point to datastored within a video table 304, values stored within the messageaugmentation data 412 may point to data stored in an augmentation table310, values stored within the message story identifier 418 may point todata stored in a story table 314, and values stored within the messagesender identifier 422 and the message receiver identifier 424 may pointto user records stored within an entity table 306.

Remote Control System

FIG. 5 is a block diagram showing an example remote control system 224,according to some examples. Remote control system 224 includes a set ofcomponents that operate on a set of input data. The remote controlsystem 224 includes an object recognition module 510, a location module520, a video camera selection module 530, and a command transmissionmodule 540.

In one example, the object recognition module 510 receives an image orvideo that depicts one or more real-world objects. The objectrecognition module 510 performs object recognition on the received imageor video to obtain one or more features or attributes of the real-worldobjects. The object recognition module 510 uses the features orattributes to generate a list of unique real-world objects, such as atelevision, front door, side of a wall, ceiling, refrigerator,electronic door lock, a table, a thermostat, a sound system, a lightbulb, an oven, a kitchen appliance, or any other suitable real-worldobject. For example, the object recognition module 510 can apply one ormore trained neural networks to identify particular objects or regionsof interest that depict real-world objects. The trained neural networkcan be trained using training images that depict various types ofreal-world objects along with ground-truth information that details theportions of the images that include the real-world objects and the typesof the objects.

The object recognition module 510 provides the list of real-worldobjects to the location module 520. The location module 520 can accesscurrent physical location information of a client device 102 thatcaptured the image or video. For example, the location module 520 canobtain the current GPS coordinates of the client device 102. Thelocation module 520 provides the current GPS coordinates of the clientdevice 102 along with the list of real-world objects depicted in theimage or video to the video camera selection module 530.

The video camera selection module 530 accesses a database of previouslyregistered IoT devices (e.g., video cameras) associated with the clientdevice 102. For example, the video camera selection module 530 can bepreconfigured by the user to associate different IoT devices with theirrespective physical locations and corresponding APIs for controlling theIoT devices. The IoT devices can also be associated with one or morefeatures of a respective real-world object that is specified previouslyby the user as being associated with the IoT device. The video cameraselection module 530 searches the database of previously registered IoTdevices using the current GPS coordinates. Namely, the video cameraselection module 530 can search for GPS coordinates stored in thedatabase that are within a threshold proximity (e.g., 10 meters) of thecurrent GPS coordinates. In response to identifying such GPS coordinatesstored in the database, the video camera selection module 530 canretrieve a list of previously registered IoT devices associated with theidentified GPS coordinates.

The video camera selection module 530 can access visual features orattributes associated with each previously registered IoT device fromthe list. These visual features or attributes can be previouslyassociated with each IoT device by capturing an image of a givenreal-world object, obtaining features or attributes of the real-worldobject, and receiving input from the user that associates the real-worldobject with a respective one of the IoT devices. The video cameraselection module 530 can compare the visual features or attributesstored for each identified IoT device of the current location with thevisual features or attributes of the real-world objects detected by theobject recognition module 510. The video camera selection module 530 canselect one or more IoT devices that are associated with visual featuresor attributes that match the visual features of attributes of thereal-world objects detected by the object recognition module 510 in thecaptured image or video.

For example, as shown in FIG. 6 , a client device 102 captures an image600 of a real-world environment. The object recognition module 510detects a front door real-world object 610 among other real-worldobjects, such as an electronic door lock. The video camera selectionmodule 530 can determine that multiple video camera IoT devices areassociated with the current location of the client device 102. In suchcases, the video camera selection module 530 can determine that visualattributes or features the front door real-world object 61 0 matches oneor more visual attributes or features associated with one of the manyvideo camera IoT devices associated with the current location and not asecond one of the video cameras. For example, the video camera selectionmodule 530 can determine that a front door or doorbell camera IoT devicethat has previously been registered at the current location (e.g., aentryway or living room) is associated with visual attributes orfeatures the front door real-world object 610 and that a refrigeratorcamera IoT device is not associated with the visual attributes orfeatures the front door real-world object 610.

In response, the video camera selection module 530 can communicate withthe command transmission module 540 to access a video feed (real-timevideo feed) captured by the front door or doorbell camera IoT device.The video camera selection module 530 can also render a virtual object622 that has a shape and size that corresponds to a shape and size ofthe real-world object 610. The video camera selection module 530 canreceive the video feed and scale the video feed 620 to fit within thevirtual object 622. The video camera selection module 530 can thenposition the virtual object 622 with the scaled video feed 620 on top ofthe real-world object 610.

In some cases, the video camera selection module 530 detects multipleIoT devices that correspond to a particular real-world object depictedand recognized in an image or video captured by a client device 102. Forexample, as shown in FIG. 6 , the object recognition module 510 candetect an electronic door lock in the image or video. Alternatively,even if the electronic door lock is not recognized or depicted in theimage or video, the video camera selection module 530 can determine thatan electronic door lock device (in addition to the front door ordoorbell camera IoT device) is associated with the current location andwith features of the real-world object that is depicted and recognizedin the image or video. In response, the video camera selection module530 can obtain one or more commands associated with the electronic doorlock device and can render a graphical user interface that includes theone or more commands. For example, the video camera selection module 530can render a menu 630 that includes one or more commands for controllingthe electronic door lock device together with or while the virtualobject 622 with the scaled video feed 620 is presented on the real-worldobject 610. The video camera selection module 530 can communicate withthe electronic door lock device to obtain a current state or statusinformation. The video camera selection module 530 can render anotification in the menu 630 that indicates the current status or state(e.g., indicating whether the electronic door lock is in a locked orunlocked state).

The video camera selection module 530 can receive input that selects agiven command from the menu 630. In response, the video camera selectionmodule 530 can communicate with the command transmission module 540(discussed below) to send the command to the electronic door lockdevice. For example, the video camera selection module 530 can detectselection of a command, such as the unlock door command. In response,the video camera selection module 530 provides the identifier of thecommand to the command transmission module 540. The command transmissionmodule 540 accesses the API associated with the IoT device (e.g., theelectronic door lock device). The command transmission module 540obtains one or more instructions from the API corresponding to theunlock door command. The command transmission module 540 uses theinstructions to send a message including the instructions over a localarea network to the IoT device to change the state or status of the IoTdevice.

In an example, the command transmission module 540 obtains the IPaddress associated with the IoT device from the list of previouslyregistered IoT devices. The command transmission module 540 generates adata packet for transmission to the IP address including the one or moreinstructions obtained from the API. The IoT device receives the datapacket and obtains the instructions stored in the data packet. The IoTdevice then executes the instructions, such as to unlock the electronicdoor lock, in response to obtaining the instructions stored in the datapacket.

In some examples, to enhance security, rather than sending a packetdirectly to the IoT device with the instructions corresponding to thecommand selected from the menu 630, the command transmission module 540can send an identifier of the IoT device (e.g., a serial number or IPaddress) to a manufacturer server associated with the IoT device. Thecommand transmission module 540 also provides the particular commandthat has been selected. The manufacturer server associated with the IoTdevice then processes the command to generate an instruction. Themanufacturer server associated with the IoT device sends the instructionover the Internet to the IoT device to cause the IoT device to executethe instruction, such as to unlock the electronic door lock device.

In this way, the user is able to point a camera of the client device 102towards a target real-world object. In response, the remote controlsystem 224 can identify the target real-world object and search for apreviously registered IoT device corresponding to the target real-worldobject. The remote control system 224 can then present a graphical userinterface automatically to display a video feed associated with thetarget real-world object and to enable the user to seamlessly select acommand to control an IoT device corresponding to the target real-worldobject.

As another example, a client device 102 captures an image 600 of areal-world environment. The object recognition module 510 detects agarage door real-world object. The video camera selection module 530 candetermine that visual attributes or features the garage door real-worldobject matches one or more visual attributes or features associated witha garage door camera IoT device that has previously been registered atthe current location (e.g., a garage). The video camera selection module530 can, in response, communicate with the command transmission module540 (discussed below) to access a video feed (real-time video feed)captured by the garage door camera IoT device. The video cameraselection module 530 can also render a virtual object that has a shapeand size that corresponds to a shape and size of the garage door. Thevideo camera selection module 530 can receive the video feed and scalethe video feed to fit within the virtual object. The video cameraselection module 530 can then position the virtual object with thescaled video feed on top of the garage door depicted in the image. Thevideo camera selection module 530 can also determine that an electronicgarage door opener IoT device is associated with the garage doorreal-world object. In response, the video camera selection module 530can render a display of a menu with commands for opening or closing thegarage door. In response to detecting selection of the open/closecommand, the video camera selection module 530 communicates the selectedcommand to the garage door opener IoT device to cause the garage dooropener IoT device to open/close the garage door.

As another example, as shown in FIG. 7 , after capturing the image ofthe real-world object 610 in the living room location, the client device102 can be turned to capture an image of a refrigerator real-worldobject 710. For example, the client device 102 captures an image 700 ofa real-world environment that depicts a refrigerator. This can be at thesame location as the real-world object 610 (FIG. 6 ). The objectrecognition module 510 detects a refrigerator real-world object 710 inthe image 700. Now, the video camera selection module 530 can determinethat visual attributes or features the refrigerator real-world object710 match one or more visual attributes or features associated with thesecond of the many video camera IoT devices associated with the currentlocation and not a first one of the video cameras. For example, thevideo camera selection module 530 can determine that a refrigeratorcamera IoT device that has previously been registered at the currentlocation (e.g., the living room) is associated with visual attributes orfeatures the refrigerator real-world object 710 and that the front-doorcamera IoT device is not associated with the visual attributes orfeatures the refrigerator real-world object 710.

In this case, the video camera selection module 530 can communicate withthe command transmission module 540 to access a video feed 720(real-time video feed) captured by the refrigerator camera IoT deviceinstead of accessing the video feed from the front door camera IoTdevice. The video camera selection module 530 can also render a virtualobject 722 that has a shape and size that corresponds to a shape andsize of a door of the refrigerator the real-world object 710. The videocamera selection module 530 can receive the video feed and generate ascaled the video feed 720 to fit within the virtual object 722. Thevideo camera selection module 530 can then position the virtual object722 with the scaled video feed 720 on top of the real-world object 710.

As shown in FIG. 8 , in some examples, the client device 812 (e.g.,client device 102) can be physically located in a first room 810 of ahome 800. The client device 812 can capture an image or video of a sideof a wall 830 that divides the first room 810 from the second room 820.The object recognition module 510 can detect and recognize the side ofthe wall 830 as a real-world object depicted in the image or video. Thevideo camera selection module 530 can receive location informationindicating that the client device 812 is physically located in the firstroom 810 and can access a list of cameras associated with the first room810. The list of cameras can include a front door camera (not shown), arefrigerator camera (not shown), and a camera 822 that is physicallylocated in a different physical location, such as the second room 820.The video camera selection module 530 can determine that only the camera822 is associated with features or attributes of the side of the wall830 provided by the object recognition module 510. In response, thevideo camera selection module 530 can communicate (directly orindirectly) with the camera 822 to obtain a video feed that depicts thereal-world environment 824 of the second room 820.

The video camera selection module 530 can scale the video feed receivedfrom the camera 822 and present the scaled video feed 814 in a virtualobject 816. The video camera selection module 530 can display thevirtual object with the scaled video feed 814 on top of the depiction ofthe side of the wall 830 on the client device 812. In this way, a userphysically positioned in the first room 810 can peek into the adjacentsecond room 820 by pointing a camera of the client device 812 towardsthe wall 830 that separates the first room 810 from the second room 820.

FIG. 9 is a flowchart of a process 900 performed by the remote controlsystem 224, in accordance with some example examples. Although theflowchart can describe the operations as a sequential process, many ofthe operations can be performed in parallel or concurrently. Inaddition, the order of the operations may be re-arranged. A process isterminated when its operations are completed. A process may correspondto a method, a procedure, and the like. The steps of methods may beperformed in whole or in part, may be performed in conjunction with someor all of the steps in other methods, and may be performed by any numberof different systems or any portion thereof, such as a processorincluded in any of the systems.

At operation 901, the remote control system 224 (e.g., a client device102 or a server) detects, by a messaging application implemented on aclient device, a real-world object depicted in a received image, asdiscussed above. For example, as shown in FIG. 6 , a real-world object610 is detected in a living room location.

At operation 902, the remote control system 224 determines a currentlocation of the client device, as discussed above. For example, as shownin FIG. 6 , the remote control system 224 determines that a currentlocation (e.g., GPS coordinates) of the client device 102 is a livingroom location.

At operation 903, the remote control system 224 identifies a pluralityof video cameras associated with the current location, as discussedabove. For example, the remote control system 224 identifies a frontdoor camera IoT device and a refrigerator camera IoT device ascorresponding to the current living room location.

At operation 904, the remote control system 224 selects a first videocamera from the plurality of video cameras based on one or moreattributes of the real-world object depicted in the image, as discussedabove. For example, the remote control system 224 selects a front doorcamera IoT device based on an association of attributes of the frontdoor depicted in the image with the front door camera IoT device and notwith the refrigerator camera IoT device.

At operation 905, the remote control system 224 receives, by themessaging application, a video feed from the first video camera that isselected, as discussed above. For example, the remote control system 224receives a video feed 620 from the front door camera IoT device.

At operation 906, the remote control system 224 causes, by the messagingapplication, the video feed received from the first video camera to bedisplayed on top of the real-world object depicted in the receivedimage, as discussed above. For example, as shown in FIG. 6 , the videofeed 620 is presented on top of the real-world object 610 depicted inthe video feed.

Machine Architecture

FIG. 10 is a diagrammatic representation of the machine 1000 withinwhich instructions 1008 (e.g., software, a program, an application, anapplet, an app, or other executable code) for causing the machine 1000to perform any one or more of the methodologies discussed herein may beexecuted. For example, the instructions 1008 may cause the machine 1000to execute any one or more of the methods described herein. Theinstructions 1008 transform the general, non-programmed machine 1000into a particular machine 1000 programmed to carry out the described andillustrated functions in the manner described. The machine 1000 mayoperate as a standalone device or may be coupled (e.g., networked) toother machines. In a networked deployment, the machine 1000 may operatein the capacity of a server machine or a client machine in aserver-client network environment, or as a peer machine in apeer-to-peer (or distributed) network environment. The machine 1000 maycomprise, but not be limited to, a server computer, a client computer, apersonal computer (PC), a tablet computer, a laptop computer, a netbook,a set-top box (STB), a personal digital assistant (PDA), anentertainment media system, a cellular telephone, a smartphone, a mobiledevice, a wearable device (e.g., a smartwatch), a smart home device(e.g., a smart appliance), other smart devices, a web appliance, anetwork router, a network switch, a network bridge, or any machinecapable of executing the instructions 1008, sequentially or otherwise,that specify actions to be taken by the machine 1000. Further, whileonly a single machine 1000 is illustrated, the term “machine” shall alsobe taken to include a collection of machines that individually orjointly execute the instructions 1008 to perform any one or more of themethodologies discussed herein. The machine 1000, for example, maycomprise the client device 102 or any one of a number of server devicesforming part of the messaging server system 108. In some examples, themachine 1000 may also comprise both client and server systems, withcertain operations of a particular method or algorithm being performedon the server-side and with certain operations of the particular methodor algorithm being performed on the client-side.

The machine 1000 may include processors 1002, memory 1004, andinput/output (I/O) components 1038, which may be configured tocommunicate with each other via a bus 1040. In an example, theprocessors 1002 (e.g., a Central Processing Unit (CPU), a ReducedInstruction Set Computing (RISC) Processor, a Complex Instruction SetComputing (CISC) Processor, a Graphics Processing Unit (GPU), a DigitalSignal Processor (DSP), an Application Specific Integrated Circuit(ASIC), a Radio-Frequency Integrated Circuit (RFIC), another processor,or any suitable combination thereof) may include, for example, aprocessor 1006 and a processor 1010 that execute the instructions 1008.The term “processor” is intended to include multi-core processors thatmay comprise two or more independent processors (sometimes referred toas “cores”) that may execute instructions contemporaneously. AlthoughFIG. 10 shows multiple processors 1002, the machine 1000 may include asingle processor with a single-core, a single processor with multiplecores (e.g., a multi-core processor), multiple processors with a singlecore, multiple processors with multiples cores, or any combinationthereof.

The memory 1004 includes a main memory 1012, a static memory 1014, and astorage unit 1016, all accessible to the processors 1002 via the bus1040. The main memory 1004, the static memory 1014, and the storage unit1016 store the instructions 1008 embodying any one or more of themethodologies or functions described herein. The instructions 1008 mayalso reside, completely or partially, within the main memory 1012,within the static memory 1014, within machine-readable medium within thestorage unit 1016, within at least one of the processors 1002 (e.g.,within the processor’s cache memory), or any suitable combinationthereof, during execution thereof by the machine 1000.

The I/O components 1038 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 1038 that are included in a particular machine will depend onthe type of machine. For example, portable machines such as mobilephones may include a touch input device or other such input mechanisms,while a headless server machine will likely not include such a touchinput device. It will be appreciated that the I/O components 1038 mayinclude many other components that are not shown in FIG. 10 . In variousexamples, the I/O components 1038 may include user output components1024 and user input components 1026. The user output components 1024 mayinclude visual components (e.g., a display such as a plasma displaypanel (PDP), a light-emitting diode (LED) display, a liquid crystaldisplay (LCD), a projector, or a cathode ray tube (CRT)), acousticcomponents (e.g., speakers), haptic components (e.g., a vibratory motor,resistance mechanisms), other signal generators, and so forth. The userinput components 1026 may include alphanumeric input components (e.g., akeyboard, a touch screen configured to receive alphanumeric input, aphoto-optical keyboard, or other alphanumeric input components),point-based input components (e.g., a mouse, a touchpad, a trackball, ajoystick, a motion sensor, or another pointing instrument), tactileinput components (e.g., a physical button, a touch screen that provideslocation and force of touches or touch gestures, or other tactile inputcomponents), audio input components (e.g., a microphone), and the like.

In further examples, the I/O components 1038 may include biometriccomponents 1028, motion components 1030, environmental components 1032,or position components 1034, among a wide array of other components. Forexample, the biometric components 1028 include components to detectexpressions (e.g., hand expressions, facial expressions, vocalexpressions, body gestures, or eye-tracking), measure biosignals (e.g.,blood pressure, heart rate, body temperature, perspiration, or brainwaves), identify a person (e.g., voice identification, retinalidentification, facial identification, fingerprint identification, orelectroencephalogram-based identification), and the like. The motioncomponents 1030 include acceleration sensor components (e.g.,accelerometer), gravitation sensor components, and rotation sensorcomponents (e.g., gyroscope).

The environmental components 1032 include, for example, one or morecameras (with still image/photograph and video capabilities),illumination sensor components (e.g., photometer), temperature sensorcomponents (e.g., one or more thermometers that detect ambienttemperature), humidity sensor components, pressure sensor components(e.g., barometer), acoustic sensor components (e.g., one or moremicrophones that detect background noise), proximity sensor components(e.g., infrared sensors that detect nearby objects), gas sensors (e.g.,gas detection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment.

With respect to cameras, the client device 102 may have a camera systemcomprising, for example, front cameras on a front surface of the clientdevice 102 and rear cameras on a rear surface of the client device 102.The front cameras may, for example, be used to capture still images andvideo of a user of the client device 102 (e.g., “selfies”), which maythen be augmented with augmentation data (e.g., filters) describedabove. The rear cameras may, for example, be used to capture stillimages and videos in a more traditional camera mode, with these imagessimilarly being augmented with augmentation data. In addition to frontand rear cameras, the client device 102 may also include a 360° camerafor capturing 360° photographs and videos.

Further, the camera system of a client device 102 may include dual rearcameras (e.g., a primary camera as well as a depth-sensing camera), oreven triple, quad, or penta rear camera configurations on the front andrear sides of the client device 102. These multiple cameras systems mayinclude a wide camera, an ultra-wide camera, a telephoto camera, a macrocamera, and a depth sensor, for example.

The position components 1034 include location sensor components (e.g., aGPS receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 1038 further include communication components 1036operable to couple the machine 1000 to a network 1020 or devices 1022via respective coupling or connections. For example, the communicationcomponents 1036 may include a network interface component or anothersuitable device to interface with the network 1020. In further examples,the communication components 1036 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 1022 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a USB).

Moreover, the communication components 1036 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 1036 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components1036, such as location via Internet Protocol (IP) geolocation, locationvia Wi-Fi® signal triangulation, location via detecting an NFC beaconsignal that may indicate a particular location, and so forth.

The various memories (e.g., main memory 1012, static memory 1014, andmemory of the processors 1002) and storage unit 1016 may store one ormore sets of instructions and data structures (e.g., software) embodyingor used by any one or more of the methodologies or functions describedherein. These instructions (e.g., the instructions 1008), when executedby processors 1002, cause various operations to implement the disclosedexamples.

The instructions 1008 may be transmitted or received over the network1020, using a transmission medium, via a network interface device (e.g.,a network interface component included in the communication components1036) and using any one of several well-known transfer protocols (e.g.,HTTP). Similarly, the instructions 1008 may be transmitted or receivedusing a transmission medium via a coupling (e.g., a peer-to-peercoupling) to the devices 1022.

Software Architecture

FIG. 11 is a block diagram 1100 illustrating a software architecture1104, which can be installed on any one or more of the devices describedherein. The software architecture 1104 is supported by hardware such asa machine 1102 that includes processors 1120, memory 1126, and I/Ocomponents 1138. In this example, the software architecture 1104 can beconceptualized as a stack of layers, where each layer provides aparticular functionality. The software architecture 1104 includes layerssuch as an operating system 1112, libraries 1110, frameworks 1108, andapplications 1106. Operationally, the applications 1106 invoke API calls1150 through the software stack and receive messages 1152 in response tothe API calls 1150.

The operating system 1112 manages hardware resources and provides commonservices. The operating system 1112 includes, for example, a kernel1114, services 1116, and drivers 1122. The kernel 1114 acts as anabstraction layer between the hardware and the other software layers.For example, the kernel 1114 provides memory management, processormanagement (e.g., scheduling), component management, networking, andsecurity settings, among other functionalities. The services 1116 canprovide other common services for the other software layers. The drivers1122 are responsible for controlling or interfacing with the underlyinghardware. For instance, the drivers 1122 can include display drivers,camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy drivers, flashmemory drivers, serial communication drivers (e.g., USB drivers), WI-FI®drivers, audio drivers, power management drivers, and so forth.

The libraries 1110 provide a common low-level infrastructure used byapplications 1106. The libraries 1110 can include system libraries 1118(e.g., C standard library) that provide functions such as memoryallocation functions, string manipulation functions, mathematicfunctions, and the like. In addition, the libraries 1110 can include APIlibraries 1124 such as media libraries (e.g., libraries to supportpresentation and manipulation of various media formats such as MovingPicture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC),Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC),Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group(JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries(e.g., an OpenGL framework used to render in 2D and 3D in a graphiccontent on a display), database libraries (e.g., SQLite to providevarious relational database functions), web libraries (e.g., WebKit toprovide web browsing functionality), and the like. The libraries 1110can also include a wide variety of other libraries 1128 to provide manyother APIs to the applications 1106.

The frameworks 1108 provide a common high-level infrastructure that isused by the applications 1106. For example, the frameworks 1108 providevarious graphical user interface functions, high-level resourcemanagement, and high-level location services. The frameworks 1108 canprovide a broad spectrum of other APIs that can be used by theapplications 1106, some of which may be specific to a particularoperating system or platform.

In an example, the applications 1106 may include a home application1136, a contacts application 1130, a browser application 1132, a bookreader application 1134, a location application 1142, a mediaapplication 1144, a messaging application 1146, a game application 1148,and a broad assortment of other applications such as an externalapplication 1140. The applications 1106 are programs that executefunctions defined in the programs. Various programming languages can beemployed to create one or more of the applications 1 106, structured ina variety of manners, such as object-oriented programming languages(e.g., Objective-C, Java, or C++) or procedural programming languages(e.g., C or assembly language). In a specific example, the externalapplication 1140 (e.g., an application developed using the ANDROID™ orIOS™ SDK by an entity other than the vendor of the particular platform)may be mobile software running on a mobile operating system such asIOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. Inthis example, the external application 1140 can invoke the API calls1150 provided by the operating system 1112 to facilitate functionalitydescribed herein.

Glossary

“Carrier signal” refers to any intangible medium that is capable ofstoring, encoding, or carrying instructions for execution by themachine, and includes digital or analog communications signals or otherintangible media to facilitate communication of such instructions.Instructions may be transmitted or received over a network using atransmission medium via a network interface device.

“Client device” refers to any machine that interfaces to acommunications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistant (PDA), smartphone, tablet, ultrabook, netbook, laptop,multi-processor system, microprocessor-based or programmable consumerelectronics, game console, set-top box, or any other communicationdevice that a user may use to access a network.

“Communication network” refers to one or more portions of a network thatmay be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), the Internet, a portion of the Internet, a portion of the PublicSwitched Telephone Network (PSTN), a plain old telephone service (POTS)network, a cellular telephone network, a wireless network, a Wi-Fi®network, another type of network, or a combination of two or more suchnetworks. For example, a network or a portion of a network may include awireless or cellular network and the coupling may be a Code DivisionMultiple Access (CDMA) connection, a Global System for Mobilecommunications (GSM) connection, or other types of cellular or wirelesscoupling. In this example, the coupling may implement any of a varietyof types of data transfer technology, such as Single Carrier RadioTransmission Technology (1xRTT), Evolution-Data Optimized (EVDO)technology, General Packet Radio Service (GPRS) technology, EnhancedData rates for GSM Evolution (EDGE) technology, third GenerationPartnership Project (3GPP) including 3G, fourth generation wireless (4G)networks, Universal Mobile Telecommunications System (UMTS), High SpeedPacket Access (HSPA), Worldwide Interoperability for Microwave Access(WiMAX), Long Term Evolution (LTE) standard, others defined by variousstandard-setting organizations, other long-range protocols, or otherdata transfer technology.

“Component” refers to a device, physical entity, or logic havingboundaries defined by function or subroutine calls, branch points, APIs,or other technologies that provide for the partitioning ormodularization of particular processing or control functions. Componentsmay be combined via their interfaces with other components to carry outa machine process. A component may be a packaged functional hardwareunit designed for use with other components and a part of a program thatusually performs a particular function of related functions.

Components may constitute either software components (e.g., codeembodied on a machine-readable medium) or hardware components. A“hardware component” is a tangible unit capable of performing certainoperations and may be configured or arranged in a certain physicalmanner. In various examples, one or more computer systems (e.g., astandalone computer system, a client computer system, or a servercomputer system) or one or more hardware components of a computer system(e.g., a processor or a group of processors) may be configured bysoftware (e.g., an application or application portion) as a hardwarecomponent that operates to perform certain operations as describedherein.

A hardware component may also be implemented mechanically,electronically, or any suitable combination thereof. For example, ahardware component may include dedicated circuitry or logic that ispermanently configured to perform certain operations. A hardwarecomponent may be a special-purpose processor, such as afield-programmable gate array (FPGA) or an ASIC. A hardware componentmay also include programmable logic or circuitry that is temporarilyconfigured by software to perform certain operations. For example, ahardware component may include software executed by a general-purposeprocessor or other programmable processor. Once configured by suchsoftware, hardware components become specific machines (or specificcomponents of a machine) uniquely tailored to perform the configuredfunctions and are no longer general-purpose processors. It will beappreciated that the decision to implement a hardware componentmechanically, in dedicated and permanently configured circuitry, or intemporarily configured circuitry (e.g., configured by software), may bedriven by cost and time considerations. Accordingly, the phrase“hardware component”(or “hardware-implemented component”) should beunderstood to encompass a tangible entity, be that an entity that isphysically constructed, permanently configured (e.g., hardwired), ortemporarily configured (e.g., programmed) to operate in a certain manneror to perform certain operations described herein.

Considering examples in which hardware components are temporarilyconfigured (e.g., programmed), each of the hardware components need notbe configured or instantiated at any one instance in time. For example,where a hardware component comprises a general-purpose processorconfigured by software to become a special-purpose processor, thegeneral-purpose processor may be configured as respectively differentspecial-purpose processors (e.g., comprising different hardwarecomponents) at different times. Software accordingly configures aparticular processor or processors, for example, to constitute aparticular hardware component at one instance of time and to constitutea different hardware component at a different instance of time.

Hardware components can provide information to, and receive informationfrom, other hardware components. Accordingly, the described hardwarecomponents may be regarded as being communicatively coupled. Wheremultiple hardware components exist contemporaneously, communications maybe achieved through signal transmission (e.g., over appropriate circuitsand buses) between or among two or more of the hardware components. Inexamples in which multiple hardware components are configured orinstantiated at different times, communications between such hardwarecomponents may be achieved, for example, through the storage andretrieval of information in memory structures to which the multiplehardware components have access. For example, one hardware component mayperform an operation and store the output of that operation in a memorydevice to which it is communicatively coupled. A further hardwarecomponent may then, at a later time, access the memory device toretrieve and process the stored output. Hardware components may alsoinitiate communications with input or output devices, and can operate ona resource (e.g., a collection of information).

The various operations of example methods described herein may beperformed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implementedcomponents that operate to perform one or more operations or functionsdescribed herein. As used herein, “processor-implemented component”refers to a hardware component implemented using one or more processors.Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors 1002 orprocessor-implemented components. Moreover, the one or more processorsmay also operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an API). The performance ofcertain of the operations may be distributed among the processors, notonly residing within a single machine, but deployed across a number ofmachines. In some examples, the processors or processor-implementedcomponents may be located in a single geographic location (e.g., withina home environment, an office environment, or a server farm). In otherexamples, the processors or processor-implemented components may bedistributed across a number of geographic locations.

“Computer-readable storage medium” refers to both machine-storage mediaand transmission media. Thus, the terms include both storagedevices/media and carrier waves/modulated data signals. The terms“machine-readable medium,” “computer-readable medium,” and“device-readable medium” mean the same thing and may be usedinterchangeably in this disclosure.

“Ephemeral message” refers to a message that is accessible for atime-limited duration. An ephemeral message may be a text, an image, avideo, and the like. The access time for the ephemeral message may beset by the message sender. Alternatively, the access time may be adefault setting or a setting specified by the recipient. Regardless ofthe setting technique, the message is transitory.

“Machine storage medium” refers to a single or multiple storage devicesand media (e.g., a centralized or distributed database, and associatedcaches and servers) that store executable instructions, routines, anddata. The term shall accordingly be taken to include, but not be limitedto, solid-state memories, and optical and magnetic media, includingmemory internal or external to processors. Specific examples ofmachine-storage media, computer-storage media and device-storage mediainclude non-volatile memory, including by way of example semiconductormemory devices, e.g., erasable programmable read-only memory (EPROM),electrically erasable programmable read-only memory (EEPROM), FPGA, andflash memory devices; magnetic disks such as internal hard disks andremovable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks Theterms “machine-storage medium,” “device-storage medium,” and“computer-storage medium” mean the same thing and may be usedinterchangeably in this disclosure. The terms “machine-storage media,”“computer-storage media,” and “device-storage media” specificallyexclude carrier waves, modulated data signals, and other such media, atleast some of which are covered under the term “signal medium.”

“Non-transitory computer-readable storage medium” refers to a tangiblemedium that is capable of storing, encoding, or carrying theinstructions for execution by a machine.

“Signal medium” refers to any intangible medium that is capable ofstoring, encoding, or carrying the instructions for execution by amachine and includes digital or analog communications signals or otherintangible media to facilitate communication of software or data. Theterm “signal medium” shall be taken to include any form of a modulateddata signal, carrier wave, and so forth. The term “modulated datasignal” means a signal that has one or more of its characteristics setor changed in such a matter as to encode information in the signal. Theterms “transmission medium” and “signal medium” mean the same thing andmay be used interchangeably in this disclosure.

Changes and modifications may be made to the disclosed examples withoutdeparting from the scope of the present disclosure. These and otherchanges or modifications are intended to be included within the scope ofthe present disclosure, as expressed in the following claims.

1. A method comprising: detecting, by an interaction applicationimplemented on a client device, a real-world object depicted in acaptured image; determining a current location of the client device;identifying a plurality of video cameras associated with the currentlocation; selecting a first video camera from the plurality of videocameras based on one or more attributes of the real-world objectdepicted in the image; receiving, by the interaction application, avideo feed from the first video camera that is selected; detecting adisplay position of the real-world object in the captured image; andcausing, by the interaction application, the video feed received fromthe first video camera to be displayed at the display position on top ofthe real-world object depicted in the captured image.
 2. The method ofclaim 1, the interaction application comprising a messaging application,further comprising: performing object recognition on the real-worldobject to generate the one or more attributes of the real-world object;obtaining attributes associated with the plurality of video cameras; andcomparing the one or more attributes of the real-world object depictedin the captured image with the attributes associated with the pluralityof video cameras to select the first video camera.
 3. The method ofclaim 1, further comprising: generating a display element having a sizeand shape corresponding to the real-world object depicted in thecaptured image; scaling the video feed to fit within the display elementhaving the size and shape corresponding to the real-world objectdepicted in the captured image; and causing the scaled video to bedisplayed in the display element at the display position.
 4. The methodof claim 1, further comprising displaying a graphical user interfacecomprising one or more commands for controlling an IoT device associatedwith the real-world object.
 5. The method of claim 4, wherein the firstvideo camera comprises a doorbell camera, and wherein the IoT devicecomprises an electronic door lock.
 6. The method of claim 1, furthercomprising: establishing a link between the interaction application andthe first video camera over a local area network.
 7. The method of claim1, wherein the one or more attributes of the real-world object compriseone or more visual elements of the real-world object depicted in theimage.
 8. The method of claim 1, further comprising: obtaining a videothat depicts a plurality of real-world objects in a given home;identifying a subset of video cameras associated with a user account ofthe interaction messaging application; receiving input that associateseach video camera in the subset with a respective one of the pluralityof real-world objects; and storing attributes of each of the real-worldobjects in association with respective video cameras in the subset ofvideo cameras based on the received input.
 9. The method of claim 8,further comprising: obtaining location information for each of theplurality of real-world objects; and storing the location information ofeach of the real-world objects in association with the respective videocameras in the subset of video cameras.
 10. The method of claim 1,further comprising: obtaining location information for the first videocamera and a second video camera of the plurality of video cameras;comparing the location information of the first and second video cameraswith the determined current location; and determining that the firstvideo camera is closer to the client device than the second video camerain response to comparing the location information, wherein the firstvideo camera is selected in response to determining that the first videocamera is closer to the client device.
 11. The method of claim 1,further comprising: generating a virtual object; populating the virtualobject using the received video feed; and overlaying the virtual objectpopulated using the received video feed on top of the real-world objectdepicted in the captured image.
 12. The method of claim 1, wherein thefirst video camera comprises a refrigerator camera, and wherein thereal-world object comprises a real-world refrigerator that includes therefrigerator camera.
 13. The method of claim 1, wherein the real-worldobject comprises a side of a wall that divides a first room and a secondroom, wherein the first video camera is in the second room, and whereinthe current location of the client device is in the first room.
 14. Themethod of claim 13, further comprising overlaying the video feed thatdepicts a real-world environment of the second room on top of the sideof the wall depicted in the image captured from the first room.
 15. Themethod of claim 1, further comprising: accessing an applicationprogramming interface (API) associated with the first video camera;generating a request to obtain the video feed based on the API; andtransmitting the request to the first video camera, wherein the videofeed is received in response to the first video camera receiving therequest.
 16. The method of claim 1, further comprising: identifying amanufacturer server associated with the first video camera; generating arequest to obtain the video feed; and transmitting the request to themanufacturer server, wherein the video feed is received in response tothe first video camera receiving the request from the manufacturerserver.
 17. A system comprising: a processor of a client device; and amemory component having instructions stored thereon that, when executedby the processor, cause the processor to perform operations comprising:detecting, by an interaction application implemented on a client device,a real-world object depicted in a captured image; determining a currentlocation of the client device; identifying a plurality of video camerasassociated with the current location; selecting a first video camerafrom the plurality of video cameras based on one or more attributes ofthe real-world object depicted in the image; receiving, by theinteraction application, a video feed from the first video camera thatis selected; detecting a display position of the real-world object inthe captured image; and causing, by the interaction application, thevideo feed received from the first video camera to be displayed at thedisplay position on top of the real-world object depicted in thecaptured image.
 18. The system of claim 17, the operations furthercomprising: identifying a subset of video cameras associated with a useraccount of the interaction application; receiving input that associateseach video camera in the subset with a respective one of a plurality ofreal-world objects in a physical location.
 19. The system of claim 18,the operations comprising storing attributes of each of the real-worldobjects in association with respective video cameras in the subset ofvideo cameras based on the received input.
 20. A non-transitorycomputer-readable storage medium having stored thereon instructionsthat, when executed by a processor of a client device, cause theprocessor to perform operations comprising: detecting, by an interactionapplication implemented on a client device, a real-world object depictedin a captured image; determining a current location of the clientdevice; identifying a plurality of video cameras associated with thecurrent location; selecting a first video camera from the plurality ofvideo cameras based on one or more attributes of the real-world objectdepicted in the image; receiving, by the interaction application, avideo feed from the first video camera that is selected; detecting adisplay position of the real-world object in the captured image; andcausing, by the interaction application, the video feed received fromthe first video camera to be displayed at the display position on top ofthe real-world object depicted in the captured image.